Big data analytics platform has to be elastic - i.e., scale out with additional servers as needed.
In my previous post, I had given the software architecture for Big Data analytics. This article is all about the hardware infrastructure needed to deploy it.
HPE Apollo 4510 offers scalable dense storage system for your Big Data, object storage or data analytics? The HPE Apollo 4510 Gen10 System offers revolutionary storage density in a 4U form factor. Fitting in HPE standard 1075 mm rack, with one of the highest storage capacities in any 4U server with standard server depth. When you are running Big Data solutions, such as object storage, data analytics, content delivery, or other data-intensive workloads, the HPE Apollo 4510 Gen10 System allows you to save valuable data center space. Its unique, density-optimized 4U form factor holds up to 60 large form factor (LFF) and additional 2 small form factor (SFF) or M.2 drives. For configurability, the drives can be NVMe, SAS, or SATA disk drives or solid state drives.
HPE ProLiant DL560 Gen10 Server is a high-density, 4P server with high-performance, scalability, and reliability, in a 2U chassis. Supporting the Intel® Xeon® Scalable processors with up to a 68% performance gain1, the HPE ProLiant DL560 Gen10 Server offers greater processing power, up to 3 TB of faster memory, I/O of up to eight PCIe 3.0 slots, plus the intelligence and simplicity of automated management with HPE OneView and HPE iLO 5. The HPE ProLiant DL560 Gen10 Server is the ideal server for Bigdata Analytics workloads: YARN Apps, Spark SQL, Stream, Mlib, Graph, NoSQL, kafka, sqoop, flume etc., database, business processing, and data-intensive applications where data center space and the right performance are of paramount importance.
The main benefits of this platform are:
- Flexibility to scaleScale compute and storage independently
- Cluster consolidationMultiple big data environments can directly access a shared pool of data
- Maximum elasticityRapidly provision compute without affecting storage
- Breakthrough economicsSignificantly better density, cost and power through workload optimized components
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